基于遥感卫星的极端气象观测数据安全预警系统设计

影响极端气象产生与演变的因素众多,给极端气象的预警工作带来较大难度,为及时对极端气象作出有效防御,利用遥感卫星观测数据设计并开发了极端气象观测数据安全预警系统。设计遥感卫星观测数据校准器、观测数据采集器、处理器、安全报警器,调整通信模块的连接方式,完成安全预警系统硬件的优化。通过遥感卫星、暴雨极端天气等数据库表的构建与连接,建立系统数据库。在系统硬件和数据库的支持下,利用遥感卫星观测数据获取气象观测数据,通过气象观测数据特征的提取,估算极端气象参数,将其与设置的安全阈值进行比对,综合极端气象强度和紧迫度系数,实现系统的安全预警功能。实验结果表明,所设计系统的平均预警时间偏差为0.18h,误警率和漏警率平均值分别为2.8%和2.7%,,响应时延平均值为20ms。

Design of Extreme Meteorological Observation Data Security Early Warning System Based on Remote Sensing Satellite

There are many factors that affect the generation and evolution of extreme weather, making it difficult to early warning extreme weather. In order to make effective defense against extreme weather in a timely manner, a security early warning system for extreme weather observation data has been designed and developed using remote sensing satellite observation data. Design a remote sensing satellite observation data calibrator, observation data collector, processor, and security alarm, adjust the connection mode of communication modules, and optimize the hardware of the security warning system. The system database is established through the construction and connection of remote sensing satellite, rainstorm extreme weather and other database tables. With the support of system hardware and database, remote sensing satellite observation data is used to obtain meteorological observation data. By extracting the characteristics of meteorological observation data, extreme meteorological parameters are estimated, compared with the set safety threshold, and the extreme meteorological intensity and urgency coefficient are integrated to achieve the safety warning function of the system. The experimental results show that the average warning time deviation of the designed system is 0.18 hours, the average false alarm rate and false alarm rate are 2.8% and 2.7%, respectively, and the average response delay is 20 ms.